Projects per year
Organisation profile
Organisation profile
Die Forschungsgruppe AIST beschäftigt sich mit der Verbesserung und Automatisierung von IT-assistierten Systemen durch die Anwendung von Algorithmen und Paradigmen des Maschinellen Lernens sowie der Data Science. Das Forschungsspektrum umfasst das Standardgetriebene Process Mining in der Medizin IT, bis hin zu der Verbesserung von Softwaresystemen durch Künstliche Intelligenz und Maschinelles Sehen sowie die Digitale Transformation für Geschäftsprozesse von KMUs.
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Dive into the research topics where AIST is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Andrea Aschauer
- Research Center Hagenberg
- Playful Interactive Environments
- Web Intelligence and Innovation Laboratory
- AIST
- Center of Excellence Automotive/Mobility
- Center of Excellence Logistics
- Center of Excellence Medical Engineering/TIMed Center
- Center of Excellence for Smart Production
- Digital Media Lab
- Focal area ICT - Information & Communications Technology
- Innovation Research
- LOGISTIKUM
- Produktion und Operations Management
Person
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HCAI - Human-Centered Artificial Intelligence
Bodenhofer, U. (PI), Affenzeller, M. (CoPI), Augstein, M. (CoPI) & Breckner, K. (CoI)
01.04.2022 → 31.03.2027
Project: Research Project
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EDEN - Emergency Detection for Elevator Networks
Krauss, O. (PI), Zwettler, G. A. (CoI), Traxler, B. (CoI) & Meindl, R. (CoI)
01.04.2018 → 31.03.2019
Project: Research Project
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PASS - PASS - Plan Analysis using Self-learning Solutions
Krauss, O. (PI), Zwettler, G. A. (CoI), Traxler, B. (CoI), Pointner, A. M. (CoI) & Praschl, C. (CoI)
01.12.2017 → 30.11.2019
Project: Research Project
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Application of Language Models for the Segmentation of Website Visitors
Stöckl, A. & Krauss, O., Jan 2024, Intelligent Systems and Applications - Proceedings of the 2023 Intelligent Systems Conference IntelliSys Volume 3. Arai, K. (ed.). Cham: Springer, p. 807-821 15 p. (Lecture Notes in Networks and Systems; vol. 824 LNNS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Applying Learning and Self-Adaptation to Dynamic Scheduling
Werth, B., Karder, J., Heckmann, M., Wagner, S. & Affenzeller, M., Jan 2024, In: Applied Sciences (Switzerland). 14, 1, 49.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Ontology-based Multi-Perspective Process Mining in Laboratories: A Case Study
Mayrhuber, E. M., Helm, E. & Ehrlinger, L., 13 Apr 2024.Research output: Contribution to conference › Paper › peer-review
Prizes
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Best Paper Award Intelligent Systems and Applications 2022
Stöckl, A. (Recipient), Pointner, A. M. (Recipient), Krauss, O. (Recipient) & Spitzer, E.-M. (Recipient), Sept 2022
Prize
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Activities
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22nd European Conference on Computer-Supported Cooperative Work (Event)
Augstein, M. (Reviewer)
6 Mar 2024 → 30 Apr 2024Activity: Publication peer-review and editorial work › Publication Peer-review
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KI-Praxisbeispiele im Consulting
Bodenhofer, U. (Speaker)
29 Feb 2024Activity: Talk or presentation › Oral presentation
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CSCW 2024: 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing (Event)
Augstein, M. (Reviewer)
15 Feb 2024 → 29 Feb 2024Activity: Publication peer-review and editorial work › Publication Peer-review